What I appreciate most about IBM SPSS Statistics is its capacity to manage complex statistical analyses effortlessly. The software offers a comprehensive selection of analytical techniques, ranging from simple descriptive statistics to more advanced predictive modeling, all accessible through an intuitive interface. Its drag-and-drop features, along with clear output tables and charts, make interpreting data and presenting insights much more straightforward. Additionally, SPSS integrates effectively with large datasets, which helps maintain accuracy and efficiency in both research and business decision-making. Review collected by and hosted on G2.com.

The main drawback of IBM SPSS Statistics is its high cost, which makes it less accessible for individuals and small organizations. The interface, while user-friendly, can feel outdated compared to modern analytics tools. Additionally, running very large datasets may sometimes slow down performance, and customization through scripting requires more technical expertise. Review collected by and hosted on G2.com.

I’ve been using IBM SPSS for a while now, mainly for statistical analysis and research projects, and overall it’s a solid tool with a few caveats. On the positive side, the biggest strength of SPSS is that it makes complex statistical analysis far more approachable. The interface is much more user-friendly compared to coding-heavy tools like R or Python, especially for people who aren’t from a hardcore programming background. Running regressions, factor analysis, ANOVA, or even advanced tests becomes very straightforward with the menus and options. The output tables and charts are also clean, easy to export, and presentation-ready, which saves a lot of time. Review collected by and hosted on G2.com.

That being said, SPSS does feel a bit dated in some areas. The interface hasn’t evolved much over the years, and sometimes it feels clunky compared to newer platforms. It’s also not the best when it comes to handling really large datasets, performance can get slow. Another downside is the cost. For students it’s manageable with discounted licenses, but for professionals or small organizations, the pricing is quite steep compared to free alternatives like R or Python, which are more flexible if you’re willing to put in the effort to learn coding. Review collected by and hosted on G2.com.

Its biggest strength for me beina a CMA Grad is the ability to convert raw financial and operational data into actionable cost insights — quickly and with statistical accuracy.

For a costing and strategy plan, SPSS can:

Analyze historical cost data to find patterns and inefficiencies.

Run predictive models to forecast material, labor, and overhead costs.

Simulate “what-if” scenarios for pricing, product mix, and market conditions.

Quantify risk factors so you can plan contingencies.

The likely win: i am not just preparing budgets — i am building a statistically validated roadmap that supports strategic decisions with evidence, not gut feeling Review collected by and hosted on G2.com.

IBM SPSS Statistics has a steep learning curve for financial professionals — its depth in statistical modeling means we can’t just “plug and play” without investing time in mastering its tools.

Hidden strength in this drawback: Once we get comfortable, that very complexity becomes its biggest advantage, enabling us and the organisation to run multi-year cost forecasts, sensitivity analyses, and risk simulations at a level most generic accounting tools can’t touch.

It’s basically saying: Yes, it’s tough at first — but that’s why it’s powerful. Review collected by and hosted on G2.com.

I find that IBM SPSS Statistics is a very useful and effective tool for managing, reviewing, and analyzing data in my university projects and work areas. It helps me solve statistical problems and perform more reliable analyses of candidates in recruitment. I also value its storage and integration features, which allow me to use it as a database to access and rework previous data when necessary. I consider it a comprehensive tool with very practical advanced features. Review collected by and hosted on G2.com.

At the beginning, I found the use of IBM SPSS Statistics a bit complex due to my limited experience and knowledge, preferring more basic tools. I feel that the platform is a bit outdated compared to other alternatives I have used, which complicated my initial adaptation. The setup process to run analyses is especially challenging for me, requiring a high level of manual technicality that I consider unnecessary and complicated for new users. Additionally, I believe the platform could be improved with more updates, such as the integration of artificial intelligence and new tools that make it easier to use, especially for new users. This affected my perception of the software's practicality, so I consider it should be more intuitive. Review collected by and hosted on G2.com.

IBM SPSS Statistics offers effective advanced statistics functionalities and the ability to process large projects data and predictive modeling IBM SPSS Statistics is incredible. Data cleansing and also data discovery using this IBM tool is perfect and great data integration solution. Review collected by and hosted on G2.com.

Easy on implementation of this IBM platform and no much to learn when getting started with IBM SPSS Statistics and the technical help offered is perfect. Review collected by and hosted on G2.com.

I use SPSS every day working in Institutional Research in Higher Education. I have been using SPSS Statistics since version 9. I also use Custom Tables. This product allows me to easily analyze large amounts of data with ease. Review collected by and hosted on G2.com.

The only improvement I would suggest is when merging two data sets together that SPSS automatically assigns variable type and lengths to be the same.

Another thing I miss are prior to IBM taking over SPSS, there were easy and affordable trainings available. Now it is complicated to register for training. I miss that. Review collected by and hosted on G2.com.

I really like how easy it is to run complex analyses without feeling lost. Even simple things, like running a regression or making charts, are straightforward. The outputs are clear, and the graphs look professional, which is a huge time saver. Plus, if you want, you can use the syntax to automate tasks makes life a lot easier. Review collected by and hosted on G2.com.

The biggest downside for me is that it can feel a bit slow, especially with really large datasets. Sometimes simple operations take longer than I expect. Also, the interface looks a bit outdated compared to newer tools—it works fine, but it doesn’t feel modern or sleek. Review collected by and hosted on G2.com.

Accurate, fast, and easy to use. Best part is how easily it handles complex statistical analysis without making it feel complex. Simple interface, many built in options to work around. “Descriptive” is my favourite. Review collected by and hosted on G2.com.

It i had to pick something, it would be the license cost Review collected by and hosted on G2.com.

It is particularly ideal for researchers and business professionals. It is very easy to use and I always appreciate an easy UI. The point and click system can be easily used to perform complex analyses without much knowledge of programming. I use it very frequently. Its easy to implement and I have not yet had to contact customer support. Review collected by and hosted on G2.com.

It is not too easy to use for new users especially ones who are unfamiliar with statistical analyses. Integration on other platforms is limited. High licensing costs so unfeasible for students. Lacks flexibility for personalization. Review collected by and hosted on G2.com.

SPSS offers a clean and structured interface that makes advanced statistical analysis accessible even to users with limited coding experience. I especially appreciate the wide range of built-in tests, its flexibility in handling complex datasets, and how easy it is to visualize outputs. The syntax feature is great for repeatability, and it integrates well with Excel and CSV workflows. Review collected by and hosted on G2.com.

SPSS can feel outdated in terms of UI compared to modern tools, and the licensing structure is somewhat rigid and expensive for individual or smaller team use. Also, while it's great for structured analysis, it lacks some of the flexibility and extensibility of open-source alternatives like R or Python when it comes to custom modeling or data wrangling. Review collected by and hosted on G2.com.